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chronic disease, stress may actively contribute to disease onset and progression through complex biological mechanisms. This PhD project aims to decipher how different forms of stress influence inflammatory
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regeneration processes. It is part of the research line Additive Manufacturing and Biofabrication and is funded by ACIISI. The selected candidate will work at the Integrated Manufacturing Building (Science and
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activities in the scientific area of Psychology, within the scope of the R&D project “Factors in the response to intervention in different types of reading disabilities”, ref. COMPETE2030-FEDER-00736600
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of support they receive, or fail to receive, during the migration process. A total of four PhD candidates will work on the project together with an international and multidisciplinary team of senior
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with 3D data processing or point cloud analysis Familiarity with machine learning or data-driven modelling approaches Ability to work independently and collaboratively in an interdisciplinary research
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address the research questions of the “Consuming Nature” project. Examples of the kinds of questions the dissertation could use as a departure point include: 1. Was women’s experience of the natural world
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. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent
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, hydrological (runoff, infiltration, condensation), and microbiological parameters. The proposed research therefore aims to investigate the alteration processes affecting rock surfaces at different scales
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, or similar programming language Experience in hyperspectral imaging, spectroscopy, and/or signal processing Experience in bio-optics -related laboratory work and field work in marine environment Personal
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Workshops Building, Ferrol Campus TASKS TO BE PERFORMED: Computational modeling and simulation of offshore aquaculture facilities, studying the hydrodynamic and structural behavior of the different elements